VP, Enterprise Analytics

Role overview

Metrics and executive insights

• Own the definition, calculation methodology, governance, documentation, and accuracy of key metrics including ARR, ATR, bookings, pipeline, and product usage.
• Establish metric ownership, approval workflows, change controls, and audit trails.
• Provide executive leadership with data-driven insights, performance analysis, and strategic recommendations.

Analytics products and partnerships

• Partner with the VP of Data across data platforms, data engineering, business intelligence, and analytics.
• Develop enterprise data products, dashboards, reporting solutions, and self-service analytics capabilities.
• Promote analytics standards, best practices, governance frameworks, and common tooling.
• Partner with Finance, Sales Operations, Product, Customer Success, and Engineering to align reporting and business measures.

Team, AI, and controls

• Build, mentor, and lead a high-performing analytics team.
• Champion AI-powered analytics tools, agentic workflows, and automation, collaborating with AI Enablement, Adoption, and Engineering teams.
• Apply SDLC, testing, version control, release management, and Agile delivery frameworks in analytics workflows.
• Ensure controls and metric governance meet public-company auditability, transparency, and compliance standards.

Experience and expertise

• Significant leadership experience in Enterprise Analytics, Business Intelligence, Data Analytics, or a related function, ideally at Director or VP level.
• Experience governing enterprise metrics in a SaaS or subscription business and expertise in SaaS metrics including ARR, ACV, Bookings, ATR, NRR, pipeline, and marketing funnel performance.
• Experience scaling reporting platforms, dashboards, embedded analytics, and self-service data products.
• Experience partnering with Data Engineering and Data Platform teams; strong understanding of CRM, ERP, and enterprise business systems.
• Experience presenting business performance insights to executive teams, boards, and investors; experience building and developing analyst teams.